scholarly journals Speech-To-Text (STT) based mobile apps can aid Citizen Reporting Program (CRP) to reduce reckless driving in resource-constrained situations

2020 ◽  
Author(s):  
Bhanu Pratap Singh ◽  
Nirvisha Singh
Keyword(s):  
Mobile Apps ◽  
Data Gathering ◽  
Mobile Network ◽  
Mobile App ◽  
Resource Constrained ◽  
Law Enforcement Agencies ◽  
Word Error Rate ◽  
System Usability Scale ◽  
Internet Availability ◽  
Reckless Driving

Most of the data gathering devices used for monitoring driver’s behavior require large storage, strong cellular signals, and unlimited internet. Touching mobile devices, during driving, is prohibited by many law enforcement agencies. There are situations, especially in developing countries, where people get stuck on roads with a low battery, low device-memory, and no mobile network. <a>The drivers in such situations are not able to report against reckless drivers effectively. </a>This paper proposes the framework of the “citizen reporting program” (CRP) aided with mobile apps to reduce reckless driving in such <i>resource-constrained situations</i> (RCS). A mobile app was designed, developed, and tested as a tool for this purpose. It could convert speech to text without a cellular network, capture the nearest geolocation, and send data to a server on the network or internet availability. We tested its reliability for converting speech to text and got a “word error rate” (WER) of less than 5%. We tested its functional usability and got a score of more than 71% on the <i>system usability scale (SUS).</i> The survey showed a favorable response of 70 plus % in reducing reckless driving via CRP in RCS if aided with mobile apps.

scholarly journals Speech-To-Text (STT) based mobile apps can aid Citizen Reporting Program (CRP) to reduce reckless driving in resource-constrained situations

2020 ◽  
Author(s):  
Bhanu Pratap Singh ◽  
Nirvisha Singh
Keyword(s):  
Mobile Apps ◽  
Data Gathering ◽  
Mobile Network ◽  
Mobile App ◽  
Resource Constrained ◽  
Law Enforcement Agencies ◽  
Word Error Rate ◽  
System Usability Scale ◽  
Internet Availability ◽  
Reckless Driving

Most of the data gathering devices used for monitoring driver’s behavior require large storage, strong cellular signals, and unlimited internet. Touching mobile devices, during driving, is prohibited by many law enforcement agencies. There are situations, especially in developing countries, where people get stuck on roads with a low battery, low device-memory, and no mobile network. <a>The drivers in such situations are not able to report against reckless drivers effectively. </a>This paper proposes the framework of the “citizen reporting program” (CRP) aided with mobile apps to reduce reckless driving in such <i>resource-constrained situations</i> (RCS). A mobile app was designed, developed, and tested as a tool for this purpose. It could convert speech to text without a cellular network, capture the nearest geolocation, and send data to a server on the network or internet availability. We tested its reliability for converting speech to text and got a “word error rate” (WER) of less than 5%. We tested its functional usability and got a score of more than 71% on the <i>system usability scale (SUS).</i> The survey showed a favorable response of 70 plus % in reducing reckless driving via CRP in RCS if aided with mobile apps.

scholarly journals How to reduce reckless driving in resource-constrained situations?

2020 ◽  
Author(s):  
Bhanu Pratap Singh ◽  
Nirvisha Singh
Keyword(s):  
Mobile Apps ◽  
Data Gathering ◽  
Mobile Network ◽  
Mobile App ◽  
Resource Constrained ◽  
Law Enforcement Agencies ◽  
Word Error Rate ◽  
System Usability Scale ◽  
Internet Availability ◽  
Reckless Driving

Most of the data gathering devices used for monitoring driver’s behavior require large storage, strong cellular signals, and unlimited internet. Touching mobile devices, during driving, is prohibited by many law enforcement agencies. There are situations, especially in developing countries, where people get stuck on roads with a low battery, low device-memory, and no mobile network. <a>The drivers in such situations are not able to report against reckless drivers effectively. </a>This paper proposes the framework of the “citizen reporting program” (CRP) aided with mobile apps to reduce reckless driving in such <i>resource-constrained situations</i> (RCS). A mobile app was designed, developed, and tested as a tool for this purpose. It could convert speech to text without a cellular network, capture the nearest geolocation, and send data to a server on the network or internet availability. We tested its reliability for converting speech to text and got a “word error rate” (WER) of less than 5%. We tested its functional usability and got a score of more than 71% on the <i>system usability scale (SUS).</i> The survey showed a favorable response of 70 plus % in reducing reckless driving via CRP in RCS if aided with mobile apps.

scholarly journals How to reduce reckless driving in resource-constrained situations?

2020 ◽  
Author(s):  
Bhanu Pratap Singh ◽  
Nirvisha Singh
Keyword(s):  
Mobile Apps ◽  
Data Gathering ◽  
Mobile Network ◽  
Mobile App ◽  
Resource Constrained ◽  
Law Enforcement Agencies ◽  
Word Error Rate ◽  
System Usability Scale ◽  
Internet Availability ◽  
Reckless Driving

Most of the data gathering devices used for monitoring driver’s behavior require large storage, strong cellular signals, and unlimited internet. Touching mobile devices, during driving, is prohibited by many law enforcement agencies. There are situations, especially in developing countries, where people get stuck on roads with a low battery, low device-memory, and no mobile network. <a>The drivers in such situations are not able to report against reckless drivers effectively. </a>This paper proposes the framework of the “citizen reporting program” (CRP) aided with mobile apps to reduce reckless driving in such <i>resource-constrained situations</i> (RCS). A mobile app was designed, developed, and tested as a tool for this purpose. It could convert speech to text without a cellular network, capture the nearest geolocation, and send data to a server on the network or internet availability. We tested its reliability for converting speech to text and got a “word error rate” (WER) of less than 5%. We tested its functional usability and got a score of more than 71% on the <i>system usability scale (SUS).</i> The survey showed a favorable response of 70 plus % in reducing reckless driving via CRP in RCS if aided with mobile apps.

scholarly journals Translation, Cross-Cultural Adaptation, and Validation of the Malay Version of the System Usability Scale Questionnaire for the Assessment of Mobile Apps (Preprint)

2018 ◽  
Author(s):  
Muhamad Fadhil Mohamad Marzuki ◽  
Nor Azwany Yaacob ◽  
Najib Majdi Yaacob
Keyword(s):  
Cultural Adaptation ◽  
Mobile Apps ◽  
Mobile App ◽  
Cross Cultural ◽  
Face Validity ◽  
Validity Index ◽  
Cross Cultural Adaptation ◽  
System Usability Scale ◽  
System Usability ◽  
The Face

BACKGROUND A mobile app is a programmed system designed to be used by a target user on a mobile device. The usability of such a system refers not only to the extent to which product can be used to achieve the task that it was designed for, but also its effectiveness and efficiency, as well as user satisfaction. The System Usability Scale is one of the most commonly used questionnaires used to assess the usability of a system. The original 10-item version of System Usability Scale was developed in English and thus needs to be adapted into local languages to assess the usability of a mobile apps developed in other languages. OBJECTIVE The aim of this study is to translate and validate (with cross-cultural adaptation) the English System Usability Scale questionnaire into Malay, the main language spoken in Malaysia. The development of a translated version will allow the usability of mobile apps to be assessed in Malay. METHODS Forward and backward translation of the questionnaire was conducted by groups of Malay native speakers who spoke English as their second language. The final version was obtained after reconciliation and cross-cultural adaptation. The content of the Malay System Usability Scale questionnaire for mobile apps was validated by 10 experts in mobile app development. The efficacy of the questionnaire was further probed by testing the face validity on 10 mobile phone users, followed by reliability testing involving 54 mobile phone users. RESULTS The content validity index was determined to be 0.91, indicating good relevancy of the 10 items used to assess the usability of a mobile app. Calculation of the face validity index resulted in a value of 0.94, therefore indicating that the questionnaire was easily understood by the users. Reliability testing showed a Cronbach alpha value of .85 (95% CI 0.79-0.91) indicating that the translated System Usability Scale questionnaire is a reliable tool for the assessment of usability of a mobile app. CONCLUSIONS The Malay System Usability Scale questionnaire is a valid and reliable tool to assess the usability of mobile app in Malaysia.

scholarly journals Use of a Mobile App for the Process Evaluation of an Intervention in Health Care: Development and Usability Study (Preprint)

2020 ◽  
Author(s):  
Winnie Szu Yun Chin ◽  
Alicia Kurowski ◽  
Rebecca Gore ◽  
Guanling Chen ◽  
Laura Punnett ◽  
...  
Keyword(s):  
Health Care ◽  
New England ◽  
Process Evaluation ◽  
Large Scale ◽  
Mobile Apps ◽  
Health And Safety ◽  
End Users ◽  
Mobile App ◽  
System Usability Scale ◽  
Stage 1

BACKGROUND Process evaluation measures the context in which an outcome was or was not achieved through the ongoing monitoring of operations. Mobile apps are a potentially less burdensome tool for collecting these metrics in real time from participants. Research-driven apps are not always developed while paying attention to their usability for target users. Usability testing uncovers gaps in researchers’, developers’, and users’ mental models of what an efficient, effective, and satisfying product looks like and facilitates design improvement. Models may vary by user demographics. OBJECTIVE This study describes the development of a mobile app for collecting process evaluation metrics in an intervention study with health care workers that uses feedback at multiple stages to refine the app design, quantify usage based on workers' overall adoption of the app and the app's specific function, and compare the demographic and job characteristics of end users. METHODS An app was developed to evaluate the Center for Promotion of Health in the New England Workplace Healthy Workplace Participatory Program, which trains teams to develop solutions for workforce health obstacles. Labor-management health and safety committee members, program champions, and managers were invited to use the app. An accompanying website was available for team facilitators. The app’s 4 functions were meeting creation, postmeeting surveys, project time logs, and chat messages. Google Analytics recorded screen time. Two stages of pilot tests assessed functionality and usability across different device software, hardware, and platforms. In stage 1, student testers assessed the first functional prototype by performing task scenarios expected from end users. Feedback was used to fix issues and inform further development. In stage 2, the app was offered to all study participants; volunteers completed task scenarios and provided feedback at deployment. End user data for 18 months after deployment were summarized and compared by user characteristics. RESULTS In stage 1, functionality problems were documented and fixed. The System Usability Scale scores from 7 student testers corresponded to <i>good</i> usability (mobile app=72.9; website=72.5), whereas 15 end users rated usability as <i>ok</i> (mobile app=64.7; website=62.5). Predominant usability themes from student testers were <i>flexibility and efficiency</i> and <i>visibility of system status</i>; end users prioritized <i>flexibility and</i> <i>efficiency</i> and <i>recognition rather than recall</i>. Both student testers and end users suggested useful features that would have resulted in the large-scale restructuring of the back end; these were considered for their benefits versus cost. In stage 2, the median total use time over 18 months was 10.9 minutes (IQR 23.8) and 14.5 visits (IQR 12.5). There were no observable patterns in use by demographic characteristics. CONCLUSIONS Occupational health researchers developing a mobile app should budget for early and iterative testing to find and fix problems or usability issues, which can increase eventual product use and prevent potential gaps in data.

India Goes Digital..Smartphone is the New Shopping Destination

2018 ◽  
Vol 6 (8) ◽  
pp. 289
Author(s):  
Shankar Chaudhary
Keyword(s):  
Online Shopping ◽  
Mobile Apps ◽  
Smart Phone ◽  
Mobile Commerce ◽  
Mobile App ◽  
Smart Phones ◽  
The Internet ◽  
The World ◽  
Shopping Experience ◽  
User Friendly

Despite being in nascent stage m-commerce is gaining momentum in India. The explosive growth of smart-phone users has made India much loved business destination for whole world. Indian internet user is becoming the second largest in the world next to China surpassing US, which throws open plenty of e-commerce opportunities, not only for Indian players, offshore players as well. Mobile commerce is likely to overtake e-commerce in the next few years, spurred by the continued uptrend in online shopping and increasing use of mobile apps.The optimism comes from the fact that people accessing the Internet through their mobiles had jumped 33 per cent in 2014 to 173 million and is expected to grow 21 per cent year-on-year till 2019 to touch 457 million. e-Commerce brands are eyeing on the mobile app segment by developing user-friendly and secure mobile apps offering a risk-free and easy shopping experience to its users. Budget 4G smart phones coupled with affordable plans, can very well drive 4G growth in India.

Stuttering mHealth Applications: A Qualitative Rubric Assessment (Preprint)

2020 ◽  
Author(s):  
Fazwa M. Fadzilah ◽  
Noreen Izza Arshad ◽  
Izuddin Zainal-Abidin ◽  
Hui Min Low ◽  
Ahmad Kamil Mahmood ◽  
...  
Keyword(s):  
Research Evidence ◽  
Mobile Apps ◽  
Group Discussion ◽  
Standard Form ◽  
Mobile App ◽  
Evidence Based ◽  
Evaluation Instrument ◽  
Collective Effort ◽  
Speech Therapists

BACKGROUND Mobile applications (apps) that offer a variety of techniques to improve stuttering have been flourishing in the digital marketplace. In evidence-based clinical practice, speech therapists will recommend audio-enriched mobile apps to individuals with stuttering problems based on empirical research evidence. Unfortunately, many stuttering mobile apps available in the market are developed without a substantial research base. Hence, speech therapists necessitate a guideline which they could use to assess the quality of a stuttering mobile app before recommending the app to stutterers. OBJECTIVE The objective of this study is to develop a rubric for assessing the quality of the stuttering mobile app in assisting speech therapists to make informed recommendations METHODS The rubric was initially developed based on a set of criteria reviewed from the literature. Online surveys and focused group discussion were then conducted for results verification. RESULTS The outcome of this study is a rubric designed with four categories and 18-evaluative dimensions tailored to analyze the quality of stuttering mobile apps. The stuttering mobile app assessment rubric presented in the serve multiple purposes, including an evaluation instrument, providing guidelines for developing stuttering mobile apps and for creating a standard form that can be shared with professionals to facilitate a collective effort. CONCLUSIONS This rubric also offers a guidance to steer drive the future development of stuttering mobile apps that are evidence-based, and theoretically grounded

Evaluating Mobile Apps For Dietary and Food Timing Assessment For Use in Research and Clinical Assessment (Preprint)

2021 ◽  
Author(s):  
Siena Gioia ◽  
Irma M Vlassac ◽  
Demsina Babazadeh ◽  
Noah L Fryou ◽  
Elizabeth Do ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Keyword Search ◽  
Mobile Apps ◽  
Dietary Assessment ◽  
Registered Dietitian ◽  
Food Record ◽  
User Privacy ◽  
Privacy Policies ◽  
Dietary Record ◽  
System Usability Scale

UNSTRUCTURED Abstract: Over the last decade, health apps have become an increasingly popular tool utilized by clinicians and researchers to track food consumption and exercise. However, as consumer apps have primarily focused on tracking dietary intake and exercise, many lack technological features to facilitate the capture of critical food timing details. To determine a viable app that recorded both dietary intake and food timing for use in our clinical study, we evaluated the timestamp data, usability, privacy policies, accuracy of nutrient estimates, and general features of 11 mobile apps for dietary assessment. Apps were selected using a keyword search of related terms and the following apps were reviewed: Bitesnap, Cronometer, DiaryNutrition, DietDiary, FoodDiary, FoodView, Macros, MealLogger, myCircadianClock, MyFitnessPal, and MyPlate. Our primary goal was identifying apps that record food timestamps, which 8 of the reviewed apps did (73%). Of those, only 4/11 (36%) allowed users to edit the timestamps, an important feature. Next, we sought to evaluate the usability of the apps, using the System Usability Scale (SUS) across 2 days, with 82% of the apps receiving favorable scores for usability (9/11 apps). To enable use in research and clinic settings, the privacy policies of each app were systematically reviewed using common criteria with 1 Health Insurance Portability and Accountability Act (HIPAA) compliant app (Cronometer). Furthermore, protected health information is collected by 9/11 (81%) of the apps. Lastly, to assess the accuracy of nutrient estimates generated by these apps, we selected 4 sample food items and one researcher’s 3-day dietary record to input into each app. The caloric and macronutrient estimates of the apps were compared to nutrient estimates provided by a registered dietitian using the Nutrition Data System for Research (NDSR). Compared to the 3-day food record, the apps were found to consistently underestimate calories and macronutrients compared to NDSR. Overall, we find the Bitesnap app to provide flexible dietary and food timing functionality capable for research or clinical use with the majority of apps lacking in necessary food timing functionality or user privacy.

Predicting Uptake of the COVID Coach App Among U.S. Military Veterans: A Funnel Analysis Using a Probability-Based Panel (Preprint)

2022 ◽  
Author(s):  
Beth K Jaworski ◽  
Katherine Taylor ◽  
Kelly M Ramsey ◽  
Adrienne J Heinz ◽  
Sarah Steinmetz ◽  
...  
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Mobile Apps ◽  
Military Veterans ◽  
Total Sample ◽  
Mobile App ◽  
Future Research ◽  
Nationally Representative ◽  
Managing Stress ◽  
Usage Data

BACKGROUND Although the pandemic has not led to a uniform increase of mental health concerns among older adults, there is evidence to suggest that some older veterans did experience an exacerbation of pre-existing mental health conditions, and that mental health difficulties were associated with a lack of social support and increasing numbers of pandemic-related stressors. Mobile mental health apps are scalable, may be a helpful resource for managing stress during the pandemic and beyond, and could potentially provide services that are not accessible due to the pandemic. However, overall comfort with mobile devices and factors influencing the uptake and usage of mobile apps during the pandemic among older veterans are not well known. COVID Coach is a free, evidence-informed mobile app designed for pandemic-related stress. Public usage data have been evaluated, but its uptake and usage among older veterans has not been explored. OBJECTIVE The purpose of the current study was to characterize smartphone ownership rates among U.S. veterans, identify veteran characteristics associated with downloading and use of COVID Coach, and characterize key content usage within the app. METHODS Data were analyzed from the 2019-2020 National Health and Resilience in Veterans Study (NHRVS), which surveyed a nationally representative, prospective cohort of 3,078 U.S. military veterans before and one year into the pandemic. The NHRVS sample was drawn from KnowledgePanel®, a research panel of more than 50,000 households maintained by Ipsos, Inc. Median time to complete the survey was nearly 32 minutes. The research version of COVID Coach was offered to all veterans who completed the peri-pandemic follow-up assessment on a mobile device (n = 814; weighted 34.2% of total sample). App usage data from all respondents who downloaded the app (n = 34; weighted 3.3% of the mobile completers sample) were collected between November 14, 2020 and November 7, 2021. RESULTS We found that most U.S. veterans own smartphones and veterans with higher education, greater number of adverse childhood experiences, higher extraversion, and greater severity of pandemic-related PTSD symptoms were more likely to download COVID Coach. Although uptake and usage of COVID Coach was relatively low (3.3% of eligible participants, n = 34), 50% of the participants returned to the app for more than one day of use. The interactive tools for managing stress were used most frequently. CONCLUSIONS Although the coronavirus pandemic has increased the need for and creation of digital mental health tools, these resources may require tailoring for older veteran populations. Future research is needed to better understand how to optimize digital mental health tools, such as apps, to ensure uptake and usage among older adults, particularly those who have experienced traumas across the lifespan.

Sign in / Sign up

Export Citation Format

Share Document